Session: 614. Acute Lymphoblastic Leukemias: Biomarkers, Molecular Markers, and Minimal Residual Disease in Diagnosis and Prognosis: Poster I
Hematology Disease Topics & Pathways:
Research, Lymphoid Leukemias, ALL, Translational Research, Diseases, Immunology, Lymphoid Malignancies, Biological Processes
We hypothesised that we would find a different T cell ‘signature’ in patients who relapsed and those who did not following alloHSCT in the UKALL14 study. We used post-transplant samples to assess the bone marrow (BM) immune cell content. Twenty-one BM samples from 12 patients (aged 41-60, median = 48 years old) were analysed by bulk RNA-sequencing (RNA-seq), ranging from 8-109 weeks post-alloHSCT. Six (50%) patients were female and six (50%) male, 2 (17%) had BCR::ABL+ B-ALL, and 2 (17%) had other UKALL14 high-risk cytogenetics. Samples were analysed in 2 groups: A) patients whose disease was in continuous remission and remained in remission long term (CR → CR); B) patients whose disease was in complete remission but relapsed in the future (CR → Rel). When comparing 1 sample per patient (13-55 weeks post-alloHSCT, median = 38 weeks), we did not detect any differences in the T cell subpopulation representation. However, neutrophil-expressed genes were significantly upregulated (L2FC ≥ 1, p-value ≤ 0.05), and gene set enrichment analysis (GSEA) revealed an enrichment of pathways associated with neutrophil degranulation in CR → Rel, compared to CR → CR. Longitudinal sampling, used to assess how the BM composition changes temporally, post-alloHSCT, did not identify any significant differences across the cohort over time.
To characterise this myeloid signature at greater resolution, single cell RNA-sequencing was performed on BM samples from 10 patients (aged 36-59, median = 44.5 years old), in the same analysis groups as previously described, with samples taken between 19-82 weeks post-alloHSCT (median = 31 weeks). Seven (58%) were male and 5 (42%) female, 3 had BCR::ABL+ B-ALL, and an additional 5 (42%) had high-risk cytogenetics. Investigation of this cohort revealed increased cytotoxic CD8+ T cells and NK cells in CR → CR, with CD4+ naïve and central memory populations more prominent in CR → Rel. A neutrophil population with a gene expression signature comparable to that seen in the bulk RNA-seq was also enriched in CR → Rel. Cell-cell interactome analysis revealed stronger putative interactions in CR → Rel specimens, most notably involving the CD4+ naïve T cell and neutrophil populations.
To determine whether this myeloid signature was transplant-dependent, we analysed data from bulk RNA-seq of 7 BM diagnostic samples, from patients with samples analysed post-alloHSCT, for the presence of the same signature. Analysis using DESeq2 and GSEA identified a myeloid gene signature that was associated with subsequent relapse after alloHSCT; this gene signature overlapped with the myeloid signature found in post-transplant CR → Rel (hypergeometric test p = 8.5x10-36). Six myeloid signatures were generated from the post-alloHSCT and diagnostic bulk RNA-seq and used to generate normalised enrichment scores (NES) for a cohort of 150 UKALL14 patients at diagnosis. Interrogation of this cohort showed that increased NES of all six signatures were significantly correlated with age and event-free survival.
To summarise, we have identified BM immune signatures associated with continuous remission versus future relapse after alloHSCT for B-ALL. Our data suggest that a neutrophil signature is enriched in both the diagnostic and post-transplant samples of patients destined to relapse, which is supported by its correlation with age and EFS in a large diagnostic cohort. To corroborate whether this myeloid population predicts eventual treatment failure post-alloHSCT in an independent cohort, the same 6 signatures will be used to interrogate bulk RNA-seq of patients at diagnosis from the GRALL trial. Further work is being performed to evaluate the profile of the neutrophil-like populations in the bone marrow samples of relapsing patients and to determine how they might regulate anti-tumour immune surveillance.
Disclosures: Chakraverty: Accelerating Clinical Trials Ltd.: Consultancy. Fielding: Amgen: Other: payment for advisory board attendance, funding contribution towards hosting an academic meeting; Incyte: Other: payment for advisory board attendance; Autlous: Other: payment for advisory board attendance.